Integrating radiomics into predictive models for low nuclear grade DCIS using machine learning

Integrating radiomics into predictive models for low nuclear grade DCIS using machine learning

Abstract Predicting low nuclear grade DCIS before surgery can improve treatment choices and patient care, thereby reducing unnecessary treatment. Due to the high heterogeneity of DCIS and the limitations of biopsies in fully characterizing tumors, current diagnostic methods relying on invasive biops...

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Bibliographic Details
Main Authors: Yimin Wu, Daojing Xu, Zongyu Zha, Li Gu, Jieqing Chen, Jiagui Fang, Ziyang Dou, Pingyang Zhang, Chaoxue Zhang, Junli Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Ductal carcinoma in situ
Machine learning
Radiomic
Ultrasound
Mammography
Online Access:https://doi.org/10.1038/s41598-025-92080-y
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https://doi.org/10.1038/s41598-025-92080-y

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